Jobs in Canada

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Added 15 days ago
WT
Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of experience in developing scalable applications, building data pipelines, and optimizing database solutions. The ideal candidate…
Added 17 days ago
S
Associate Platform Engineer - Fintech
SweetTech
Montreal, QC
- Full-time
…(SDLC), Agentic Development Life Cycle, agentic technology stack, and SweetOS operations. You will learn how to work with our autonomous development systems, navigate the application…
Added 17 days ago
S
Associate Forward Deployed Engineer - Fintech
SweetTech
Montreal, QC
- Full-time
Help an experienced forward deployed engineer turn customer requirements into defined application tasks and acceptance checks.
Added 18 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Must have development experience in Azure Integration Services
Added 20 days ago
B
Senior Director Software Engineer
Broadridge
Markham, ON
- Full-time
…Connected, and Supported - we create an environment where every associate can grow, contribute, and thrive. We are dedicated to fostering a diverse, equitable, and inclusive workplace that…
Added 20 days ago
MM
Observability Engineer
Morgan McKinley
Toronto, ON · Greater Toronto Area, Canada
- $105,000 to $125,000 CAD / year
- Full-time
…Dynatrace SaaS or Managed, including OneAgent, ActiveGate, full-stack monitoring, RUM, synthetic monitoring, Davis AI, distributed tracing, dashboards, and log monitoring on…
Added 20 days ago
WT
Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of hands‑on experience in building scalable applications, optimizing databases, and developing automation solutions. The ideal…
Added 21 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Mode of Work: Onsite 3-4 days per week
Added 21 days ago
TC
Dynatrace- Synthetic Developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 21 days ago
TC
Dynatrace- Synthetic Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 22 days ago
UC
AI/Full Stack Developer
UniSysTech Consulting
Toronto, ON
- Other
We are seeking a AI/Senior Full Stack Developer to rapidly deliver a functional AI Agent-based prototype that automates certain workflows. The prototype should have human-in-the-loop…
Added 24 days ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
Must have development experience in Azure Integration Services
Added 25 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Mode of Work: Onsite 3-4 days per week
Added 26 days ago
D
Cloud Engineer, Azure
Deloitte
Canada
- Full-time
Relevant active Azure certifications, such as Azure Administrator Associate (AZ – 104), Azure Security Engineer Associate (AZ-500), Azure DevOps Engineer Expert (AZ – 400).
Added 26 days ago
J
Associate Software Engineer - International
Justworks
Toronto, ON
- $109,000 to $136,000 CAD / year
As a Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills,…
Added 26 days ago
EI
Thermal Mechanical Engineer
Ecolab Inc.
Calgary, AB
- Full-time
Candidates must reside in or be willing to relocate to Calgary, AB or the surrounding area
Added 26 days ago
AI Full Stack Engineer
Scotiabank
Toronto, ON
The AI Full Stack Engineer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning…
Added 26 days ago
A
Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise…
Added 28 days ago
EI
Mechanical Engineer
Ecolab Inc.
Calgary, AB
- Full-time
Candidate must reside in or willing to relocate to: Calgary, AB or surrounding area
Added 28 days ago
C
Programmer – Aerospace Metrology Automation
Cyient
Longueuil, QC
- $90,000 to $120,000 CAD / year
- Full-time
…Fortran (PL1), FME.. (NA), ESRI (PL1), ESB (NA), Ericsson Network Engineer (PL1), Ericsson Adaptive Inventory (granite) (PL1), EntityFramework (PL1), ElasticSearch (PL1), Elastic/Solr…
Added 28 days ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Principal Associate, AI Engineer
Added 1 month ago
C
Associate Software Engineer
CARFAX
London, ON
- $64,000 to $96,000 CAD / year
- Full-time
This position will require 2 days per week in our London,ON office subject to change with future business needs
Added 1 month ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Mode of Work: Onsite 3-4 days per week
Added 1 month ago
I
Software Engineer
Insight
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and experienced Software Engineer to join Insight's Application Development department. This is a department role rather than a position on a single customer…
Added 1 month ago
TU
Assistant Professor or Associate Professor in Computer Engineering
The University of British Columbia
Vancouver, BC
- Full-time
…British Columbia's Vancouver campus invites applications for a full-time position at the rank of assistant professor (tenure-track) or associate professor (tenure-track or tenured) in the…

Scotiabank

AI Full Stack Engineer

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Experience: 3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.
Posting language: English
Posted: Oct 14, 2026

Original job description

Requisition ID: 276378

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The AI Full Stack Engineer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. This role sits at the intersection of software engineering, cloud infrastructure, MLOps, and applied AI, with a focus on building reliable platform capabilities that accelerate safe and efficient AI adoption across the enterprise.

Is this role right for you? In this role you will:

Design, develop, and maintain reusable platform services for AI and machine learning workloads, including model training, evaluation, deployment, inference, monitoring, and lifecycle management.

Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.

Implement production-grade MLOps and LLMOps capabilities, including CI/CD pipelines, model and prompt versioning, automated testing, observability, drift detection, and rollback mechanisms.

Partner with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders to translate AI use cases into secure, reliable platform capabilities.

Develop and operate containerized workloads using Kubernetes, Docker, cloud-native services, and infrastructure-as-code practices.

Support retrieval-augmented generation, vector search, agentic workflows, model serving, feature pipelines, and enterprise integration patterns where applicable.

Embed reliability, resiliency, scalability, cost optimization, governance, and security controls into platform design and day-to-day engineering practices.

Define and enforce engineering standards for code quality, testing, observability, documentation, operational readiness, and production support.

Evaluate emerging AI platform tools, frameworks, and cloud services, and recommend adoption patterns aligned with enterprise architecture standards.

Participate in incident response, root-cause analysis, performance tuning, and continuous improvement of platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.

Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.

Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud, including compute, storage, networking, identity, and managed AI or data services.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with MLOps, CI/CD, model deployment, experimentation tracking, observability, logging, monitoring, and automated testing practices.

Working knowledge of machine learning concepts, model serving patterns, data pipelines, feature engineering, or generative AI application patterns.

Experience building modern front-end applications using frameworks such as React, Angular, or Vue, with strong understanding of component-based design, state management, and responsive user interfaces.

Ability to develop intuitive, accessible, and performant user experiences for developer portals, dashboards, workflow tools, or self-service platform interfaces.

Experience applying secure software development practices, access controls, secrets management, and production operational controls.

Strong problem-solving, communication, collaboration, and ownership skills in a cross-functional engineering environment

Nice‑to‑Have Qualifications:

Experience building internal developer platforms, AI platforms, ML platforms, or shared engineering services at enterprise scale.

Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, Feature Stores, vector databases, or model registries.

Experience with LLM application development, retrieval-augmented generation, prompt orchestration, evaluation frameworks, guardrails, or agentic AI workflows.

Familiarity with infrastructure-as-code tools such as Terraform, Bicep, ARM templates, CloudFormation, or Pulumi.

Experience operating services in regulated environments with governance, auditability, data privacy, and model risk management requirements.

Certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

The AI Full Stack Engineer will design, build, and operate scalable software platforms to support AI and machine learning solutions in production. This role involves developing reusable platform services, APIs, and MLOps capabilities while collaborating with cross-functional teams to ensure secure and efficient AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 3 years of professional software engineering experience. Proficiency in Python, Java, or Scala, along with hands-on experience in cloud platforms, containerization, and MLOps practices, is required.

Skills

Python
Java
Scala
Kubernetes
Docker
Cloud platforms
MLOps
LLMOps
CI/CD
React
Angular
Vue
API development
Machine learning
Generative AI
Infrastructure-as-code

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one
Community engagement programs

Visa sponsorship

Not detected in the job text

Keywords

AI Full Stack Engineer
MLOps
LLMOps
Kubernetes
Docker
Python
Java
Scala
Cloud Computing
AWS
Azure
Google Cloud
CI/CD
React
Angular
Vue
Machine Learning
Generative AI
Infrastructure-as-code
Terraform
MLflow
Kubeflow
Airflow
Databricks
Vector Databases
Retrieval-Augmented Generation
API Development
Software Engineering
Data Engineering
Enterprise Architecture

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Work requirements

Jobs in Canada